Question Answering
Transformers
Safetensors
PEFT
Spanish
llama
text-generation
resident-evil
qlora
llama-cpp
instruct
gaming
text-generation-inference
Instructions to use DavidCaraballoBulnes/ResidentEvil-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidCaraballoBulnes/ResidentEvil-QA with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="DavidCaraballoBulnes/ResidentEvil-QA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DavidCaraballoBulnes/ResidentEvil-QA") model = AutoModelForCausalLM.from_pretrained("DavidCaraballoBulnes/ResidentEvil-QA", device_map="auto") - PEFT
How to use DavidCaraballoBulnes/ResidentEvil-QA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DavidCaraballoBulnes/ResidentEvil-QA: direct link, hf CLI and curl.
- Browser
- Download file 37 MB
-
https://huggingface.co/DavidCaraballoBulnes/ResidentEvil-QA/resolve/main/tokenizer.json
- Command line
-
hf download hf://DavidCaraballoBulnes/ResidentEvil-QA/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DavidCaraballoBulnes/ResidentEvil-QA/resolve/main/tokenizer.json
37 MB
- Xet hash:
- eece6941dc63f8b732b793ae6394bde5eb3127b738109a4da239e35ab91a6499
- Size of remote file:
- 37 MB
- SHA256:
- 32f120391e519acb30e6585f66d6b95fa54e823cd83fbc439214e02181db4620
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